In this groundbreaking research, the field of Diverse Intelligence explores the commonalities in behavioral competencies across various implementations. The study focuses on simple systems exhibiting surprising memory, decision-making, and problem-solving abilities, challenging conventional assumptions. By analyzing classical sorting algorithms as a model for biological morphogenesis, researchers demonstrate how autonomous elements can efficiently sort themselves even in the presence of errors. The study reveals the emergence of problem-solving capacities and unexpected clustering behaviors, offering a new perspective on intelligence in simple systems. This research opens doors to understanding minimal requirements for intelligence in unconventional substrates.
https://arxiv.org/abs/2401.05375